code: def get_textcat_bow_kwargs():
      return {
          "exclusive_classes": True,
          "ngram_size": 1,
          "no_output_layer": False,
          "nO": 34,
      }
  
imports: from typing import List
  import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  from thinc.api import Adam, Logistic, Ragged, Relu, chain, fix_random_seed, reduce_mean, set_dropout_rate
  from spacy.lang.en import English
  from spacy.lang.en.examples import sentences
  from spacy.ml.extract_spans import _get_span_indices, extract_spans
  from spacy.ml.models import MaxoutWindowEncoder, MultiHashEmbed, build_bow_text_classifier, build_simple_cnn_text_classifier, build_spancat_model, build_Tok2Vec_model
  from spacy.ml.staticvectors import StaticVectors
  from spacy.util import registry
label_desc: Use image node_id 1 for calling a global function with example usage: get_textcat_bow_kwargs() and returns: dict